AI is accelerating change across the automotive industry impacting how organizations approach regulation, governance, safety, and security.
As standards evolve and regulators respond to increasingly AI-driven systems, many teams are asking the same question: How do we integrate these expectations into real development and assurance workflows?
In this expert interview with Gokul Krithivasan, Co-Founder & Managing Partner, SecuRESafe, he shares his perspective on where AI-driven automotive development is heading and what engineering and product teams should be paying attention to now to stay ahead.
What You’ll Learn:
- The evolving regulatory and standards landscape for AI in road vehicles, including alignment with functional safety, SOTIF, and emerging AI standards.
- The growing role of governance in AI initiatives, spanning data, models, decision-making processes, and organizational accountability.
- Shifting safety and cybersecurity expectations as machine learning becomes more prevalent in the production of automotive systems.
- The current application of AI-based tools in product development, and the importance of maintaining expert oversight to realize productivity gains.
- Broader implications of AI adoption on industry practices, including assurance strategies, collaboration, and post-deployment operations.